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CN-121979955-A - Medicine warehouse storage management method

CN121979955ACN 121979955 ACN121979955 ACN 121979955ACN-121979955-A

Abstract

The application discloses a medicine warehouse storage management method which comprises the steps of collecting multidimensional parameters such as temperature, humidity, illumination, air components and the like of a warehouse environment through environment monitoring equipment, constructing a time-space synchronous fusion database, setting a digital characteristic label based on physicochemical properties, importance levels and component stability of medicines to form a medicine classification characteristic list, carrying out correlation analysis on environment data and medicine characteristics to establish a medicine-environment relation list, dynamically setting environment threshold values and warehouse time threshold values of all medicines according to the environment characteristic list, monitoring the environment parameters in real time according to the threshold values, automatically adjusting a warehouse strategy when the monitored values exceed limits, and supporting medicine stock optimization based on epidemic case prediction.

Inventors

  • YIN PAN
  • ZHU HONGPING
  • GONG LIANHONG
  • JIN GAOFENG

Assignees

  • 南昌大学第二附属医院

Dates

Publication Date
20260505
Application Date
20260127

Claims (10)

  1. 1. A method of drug warehouse storage management, comprising: s1, deploying integrated sensor network nodes in a warehouse, synchronously collecting multi-source data of the position of each node, attaching a time stamp and a three-dimensional space position label to all the collected data, and constructing a time-space synchronous fusion database; S2, establishing sensitivity labels with two dimensions of light sensitivity and microorganism sensitivity for each medicine stored in a warehouse to form a digital representation of the sensitive bacteria-sensitive light dual characteristics of each medicine; S3, calculating the microbial contamination risk index and the photodegradation risk index of each drug in the current environment according to the fusion database and the digital image, and identifying a risk conflict area with high microbial contamination risk and high photodegradation risk at the same time; S4, aiming at the identified risk conflict areas, calculating a fusion risk index of the risk conflict areas, and dynamically dividing different warehouse functional areas according to the real-time fusion risk indexes of all the areas of the whole warehouse; and S5, generating an optimal cooperative control strategy according to different warehouse functional areas.
  2. 2. The method for storing and managing medicines in a warehouse according to claim 1, wherein the method for forming the digitized images of the dual characteristics of the sensitized bacteria and sensitized light of each medicine is characterized by comprising the steps of analyzing the photosensitivity of each medicine based on chemical components, physical forms and photodecomposition characteristics of the medicine, determining the sensitive wavelength range of each medicine, establishing a photodegradation dynamic model of each medicine, determining the maximum allowable accumulated light exposure, evaluating the microorganism pollution sensitivity of each medicine based on prescription composition, packaging materials and corrosion protection information of each medicine, determining the microorganism sensitivity level and the susceptibility microorganism type of each medicine, and integrating the photosensitivity parameters and the microorganism sensitivity quantification result in a structuring manner to form the digitized characteristic file of the medicine.
  3. 3. The drug warehouse storage management method of claim 1, wherein the risk conflict area comprises the steps of extracting real-time environment monitoring data of all the library positions from a space-time synchronous fusion database, calling digital characteristic files of corresponding library positions for storing drugs from a drug characteristic tag library, calculating photodegradation risk indexes of all the library positions of drugs based on illumination data in the extracted environment monitoring data and photosensitive parameters in the digital characteristic files, calculating microbial pollution risk indexes of all the library positions of drugs based on microbial load, temperature and humidity data in the extracted environment monitoring data and microbial sensitivity parameters in the digital characteristic files, setting a photodegradation risk high threshold and a microbial pollution risk high threshold, and identifying library positions exceeding two high thresholds at the same time as risk conflict areas.
  4. 4. The method for storing and managing medicines in a warehouse as claimed in claim 3, wherein said step S2 further comprises: s21, inputting initial physical and chemical properties and accelerated stability experimental data of the medicine into the digital portrait to form a medicine initial feature library; s22, extracting real-time environment monitoring sequences of all library positions from the fusion database, correlating the real-time environment monitoring sequences with the digitalized characteristic files of the corresponding library position medicines, and storing the digitalized characteristic files according to time sequences to form a traceable medicine-environment interaction dynamic database; s23, respectively constructing a medicine effective component degradation rate prediction model and a medicine anticorrosion effectiveness attenuation model by using a pharmacokinetics principle based on an environment historical data sequence and medicine initial characteristics in a dynamic database, and outputting a predicted degradation curve of the medicine effective component and a real-time attenuation state of the medicine anticorrosion effectiveness; S24, calculating an attenuation index reflecting the current stability state of the medicine according to the predicted degradation curve and the real-time attenuation state of the anti-corrosion efficiency, dynamically regulating the maximum allowable accumulated illumination exposure of the medicine according to the predicted degradation curve, and dynamically regulating the microorganism sensitivity comprehensive index of the medicine by combining the real-time microorganism load and the predicted attenuation state of the anti-corrosion efficiency; S25, recalculating the photodegradation and microbial pollution risk indexes of the medicines in all the library positions, repainting risk grades according to the new risk indexes, automatically generating and executing a library position dynamic migration instruction when the medicine risk grades are upgraded, and transferring the medicines to a functional area which is more matched with the current stability state of the medicines.
  5. 5. The method for storing and managing medicine warehouse as set forth in claim 4, wherein the outputting of the predicted degradation curve of the medicine active ingredient and the real-time attenuation state of the antiseptic efficacy thereof comprises establishing a predicted degradation rate model of the medicine active ingredient and an attenuation model of the medicine antiseptic efficacy respectively by means of parameter fitting based on an environmental history data sequence and an initial characteristic parameter of the medicine in a dynamic database, verifying the accuracy of the predicted model and the attenuation model by means of reserved monitoring data or sampling detection data, dynamically updating model parameters according to the verification result, and combining the parameter updated model with the real-time environmental monitoring data to generate and output the predicted degradation curve of the medicine active ingredient and the real-time antiseptic efficacy attenuation state thereof.
  6. 6. The method for storing and managing medicine in warehouse as set forth in claim 5, wherein the step S24 specifically includes determining a current stability state of the medicine according to the predicted degradation curve and the real-time attenuation state, dynamically reducing a maximum allowable cumulative exposure threshold of the medicine according to the current stability state, and dynamically up-regulating a microorganism sensitivity comprehensive index of the medicine by combining the real-time environment monitoring data and the real-time attenuation state.
  7. 7. A drug warehouse storage management method as in claim 3, wherein in S22, storing a dynamic database forming a traceable drug-environment interaction in time series comprises: s221, expanding a dynamic database of each medicine before warehousing for the first time, and adding a chemical interaction characteristic record, wherein the chemical interaction characteristic record comprises volatile component spectrum VOCs fingerprints of the medicines, chemical compatibility data of other common medicines and a physical stress tolerance threshold; S222, when the drug is planned to be subjected to warehouse position adjustment or warehouse-in/warehouse-out operation is executed, simulating a planned moving path based on a digital twin model of a warehouse and combining physical stress tolerance parameters in chemical interaction characteristics, and calculating physical environmental stress to be accumulated and born by the drug in the whole moving process; S223, constructing a stability attenuation prediction curve of the medicine in the moving process according to the calculated accumulated physical environmental stress and by combining a physical stability model of the medicine; S224, based on a computational fluid dynamics model, simulating the flow state of air flow in a warehouse and the diffusion path and concentration distribution of VOCs released by existing stock medicines in real time, when a certain medicine plan is adjusted to a target warehouse position, calling the VOCs fingerprint of the medicine and the chemical compatibility data of the medicine and the existing medicines around the target warehouse position in real time, and calculating the potential cross reaction risk index after the volatile matters and the VOCs in the surrounding environment.
  8. 8. The method for storing and managing medicine warehouse according to claim 7, wherein the calculating the physical environmental stress to which the medicine is subjected to be accumulated in the whole moving process is specifically as follows: The method comprises the steps of extracting a planned medicine moving path based on a digital twin model of a warehouse, discretizing the path into a plurality of continuous path sections, parametrically defining physical environment stress sources of each path section, calculating physical environment stress levels born by medicines in each path section based on physical stress tolerance parameters of the medicines, carrying out accumulated analysis on various physical environment stresses born by the medicines along the whole moving path, and generating physical stress overrun risk early warning according to comparison results of the accumulated physical environment stress and physical stress tolerance thresholds of the medicines.
  9. 9. The method for storing and managing medicine in a warehouse as claimed in claim 7, wherein said constructing a stability decay prediction curve of medicine during the present movement comprises: the method comprises the steps of constructing a stability attenuation prediction curve of a medicine in the moving process based on the calculated accumulated physical environment stress and physical stability model parameters of the medicine, calculating a predicted stability index of the medicine at each moment in the moving process according to the stability attenuation prediction curve, comparing the predicted stability index with a preset stability safety threshold, and triggering medicine moving stability risk early warning when the predicted stability index is lower than the safety threshold.
  10. 10. The medicine warehouse storage management method according to claim 7, wherein the potential cross reaction risk index specifically comprises the steps of integrating real-time environment parameters of a warehouse with VOCs release characteristics of all stock medicines, constructing a space source field reflecting the VOCs release condition of the whole warehouse, solving through a computational fluid dynamics model based on the space source field and environment boundary conditions to obtain real-time three-dimensional concentration distribution of each VOCs component in the warehouse, setting the medicine in the model as a temporary release source when the medicine is planned to be adjusted to a target warehouse position, simulating volatile matter diffusion of the medicine and obtaining the predicted concentration distribution of the medicine in a target area, extracting background concentration distribution of each VOCs component around the target area from the background concentration field, obtaining chemical compatibility data of the target medicine and the surrounding existing medicines, calculating comprehensive cross reaction risk index caused by introducing the target medicine based on the predicted concentration distribution, the background concentration distribution and the chemical compatibility data, comparing the comprehensive cross reaction risk index with a preset dynamic safety threshold, and generating cross contamination risk early warning if the threshold is exceeded.

Description

Medicine warehouse storage management method Technical Field The invention relates to the technical field of medicine warehouse, in particular to a medicine warehouse storage management method. Background In the field of current drug warehouse management, especially for conventional warehouses (non-refrigeration houses and constant-temperature warehouses), a commonly adopted environment monitoring method mainly depends on static threshold alarming of basic environment parameters such as temperature, humidity and the like. Such sensors, which are typically deployed in discrete units, are monitored at a single point, and when a parameter exceeds a preset fixed limit, an alarm is triggered or a simple regulating device (e.g., air conditioner, dehumidifier) is activated. However, the method has the remarkable limitations that on one hand, the method lacks comprehensive synchronous acquisition and analysis capability of environmental multi-parameters (such as specific spectrum illumination, microbial load and air composition) and is difficult to reflect the compound influence of the environment on the quality of medicines, and on the other hand, the management strategy is static and universal and cannot carry out differential and refined risk management according to the unique physicochemical characteristics of different medicines in a library. This results in a very high risk of chemical degradation or microbial contamination of the drug due to unreasonable environmental fluctuations in conventional libraries with varying climates, especially for high value or high sensitivity drugs. Further, the prior art has presented the concept of memory partitioning based on drug sorting, for example, by placing light sensitive drugs in a light-protected area. However, the partition is often fixed and extensive, and depends on manual experience setting, and cannot be adaptively adjusted according to real-time dynamic environment data and dynamic states of medicines. When local and instantaneous abnormal fluctuation occurs in the environment in the warehouse (such as sudden change of temperature and humidity due to equipment failure or abnormal enhancement of illumination due to door and window opening in a certain area), or different risk types (such as microorganism breeding risk and photodegradation risk) are overlapped in the same area to form conflict, the static partition and the single control strategy often fail or catch the elbow mutually. Disclosure of Invention The application provides a dynamic warehouse management method for sensing composite environmental risks in real time, accurately matching the characteristics of medicines and intelligently coordinating a multi-target control strategy, so as to solve the contradiction and risks caused by static and splitting management. The application provides a medicine warehouse storage management method, which comprises the following steps: s1, deploying integrated sensor network nodes in a warehouse, synchronously collecting multi-source data of the position of each node, attaching a time stamp and a three-dimensional space position label to all the collected data, and constructing a time-space synchronous fusion database; S2, establishing sensitivity labels with two dimensions of light sensitivity and microorganism sensitivity for each medicine stored in a warehouse to form a digital representation of the sensitive bacteria-sensitive light dual characteristics of each medicine; S3, calculating the microbial contamination risk index and the photodegradation risk index of each drug in the current environment according to the fusion database and the digital image, and identifying a risk conflict area with high microbial contamination risk and high photodegradation risk at the same time; S4, aiming at the identified risk conflict areas, calculating a fusion risk index of the risk conflict areas, and dynamically dividing different warehouse functional areas according to the real-time fusion risk indexes of all the areas of the whole warehouse; and S5, generating an optimal cooperative control strategy according to different warehouse functional areas. Preferably, the method for forming the sensitized bacteria-sensitized light dual-characteristic digital image of each medicine specifically comprises analyzing the photosensitivity of the medicine based on the chemical composition, physical form and photolysis characteristic of the medicine, determining the sensitive wavelength range of the medicine, establishing a photodegradation dynamics model of the medicine and determining the maximum allowable accumulated light exposure, evaluating the microorganism pollution sensitivity of the medicine based on the prescription composition, packaging material and corrosion-resistant information of the medicine, determining the microorganism sensitivity level and susceptibility microorganism type of the medicine, and structurally integrating the photosensitivity parameter and the micro